Bayesian modeling of spatio-temporal data with R. (2022)

• Record Type: Book
• Further Information: Note: Sujit Sahu.
• Authors: Sahu, Sujit
• Contents: 1. Examples of spatio-temporal data; 2. Jargon of spatial and spatio-temporal modeling; 3. Exploratory data analysis methods; 4. Bayesian inference methods; 5. Bayesian computation methods; 6. Bayesian modeling for point referenced spatial data; 7. Bayesian modeling for point referenced spatio-temporal data; 8. Practical examples of point referenced data modeling; 9. Bayesian forecasting for point referenced data; 10. Bayesian modeling for areal unit data; 11. Further examples of areal data modeling; 12. Gaussian processes for data science and other applications; Appendix A. Statistical densities used in the book; Appendix B. Answers to selected exercises
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 300.15195; Spatial analysis (Statistics) -- Mathematical models; Bayesian statistical decision theory -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781000543698; 9781000543612; 9780429318443
• Related ISBNs: 9780367277987
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.